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2020 – today
- 2024
[c4]Yijun Wan, Melih Barsbey, Abdellatif Zaidi, Umut Simsekli:
Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD. ICML 2024- 2023
- [j4]Melih Barsbey
, Ali Taylan Cemgil:
Modeling Hierarchical Seasonality Through Low-Rank Tensor Decompositions in Time Series Analysis. IEEE Access 11: 85770-85784 (2023) - [j3]Riza Özçelik, Alperen Bag, Berk Atil, Melih Barsbey, Arzucan Özgür, Elif Ozkirimli:
A Framework for Improving the Generalizability of Drug-Target Affinity Prediction Models. J. Comput. Biol. 30(11): 1226-1239 (2023) - [j2]Melih Barsbey, Riza Özçelik, Alperen Bag, Berk Atil, Arzucan Özgür, Elif Ozkirimli:
A Computational Software for Training Robust Drug-Target Affinity Prediction Models: pydebiaseddta. J. Comput. Biol. 30(11): 1240-1245 (2023) - [c3]Anant Raj, Melih Barsbey, Mert Gürbüzbalaban, Lingjiong Zhu, Umut Simsekli:
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares. ALT 2023: 1292-1342 - [i4]David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev V. Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam:
Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR abs/2307.02191 (2023) - 2022
- [i3]Anant Raj, Melih Barsbey, Mert Gürbüzbalaban, Lingjiong Zhu, Umut Simsekli:
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares. CoRR abs/2206.01274 (2022) - 2021
- [j1]Sinan Yildirim, M. Burak Kurutmaz, Melih Barsbey, Umut Simsekli, A. Taylan Cemgil:
Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors. IEEE J. Sel. Top. Signal Process. 15(3): 560-573 (2021) - [c2]Melih Barsbey, Milad Sefidgaran, Murat A. Erdogdu, Gaël Richard, Umut Simsekli:
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks. NeurIPS 2021: 29364-29378 - [i2]Melih Barsbey, Milad Sefidgaran, Murat A. Erdogdu, Gaël Richard, Umut Simsekli:
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks. CoRR abs/2106.03795 (2021)
2010 – 2019
- 2019
- [i1]Ali Taylan Cemgil, Mehmet Burak Kurutmaz, Sinan Yildirim, Melih Barsbey, Umut Simsekli:
Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns. CoRR abs/1903.04478 (2019) - 2013
- [c1]Melih Barsbey, Tania Lombrozo:
Linguistic differences in explanation requests and their effects on the evaluation of explanations: the case of English and Turkish. CogSci 2013
Coauthor Index
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